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Internship Remote Bioinformatics Scientist Jobs in Colorado

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Internship Remote Bioinformatics Scientist information

What is the difference between Internship Remote Bioinformatics Scientist vs Entry-Level Data Analyst?

AspectInternship Remote Bioinformatics ScientistEntry-Level Data Analyst
Required CredentialsRelevant degree in bioinformatics, biology, or related field; some programming knowledgeBachelor's degree in data science, statistics, or related field; basic analytical skills
Work EnvironmentRemote, research-focused, collaborative with scientific teamsRemote or on-site, business or research settings, data-driven tasks
Employer & Industry UsageBiotech, pharma, research institutionsVarious industries including finance, healthcare, marketing

While both roles involve data analysis, an Internship Remote Bioinformatics Scientist focuses on biological data and research, often requiring specific scientific knowledge. An Entry-Level Data Analyst has a broader scope across industries, emphasizing data interpretation and reporting. The internship provides hands-on experience in bioinformatics, whereas the data analyst role is more general in data handling and analysis.

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For Internship Remote Bioinformatics Scientist jobs in Colorado, the most frequently searched job titles are:

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Internship Remote Bioinformatics Scientist jobs near you
Infographic showing various Internship Remote Bioinformatics Scientist job openings in Colorado as of August 2026, with employment types broken down into 20% Internship, 56% Full Time, 14% Part Time, and 10% Contract. Highlights an 100% Remote job distribution.

AI Training Specialist - Life Sciences

micro1 AI

Greeley, CO • Remote

$90 - $120/hr

Part-time

Posted 17 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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